5660 results about "Hydrogen production" patented technology

A wind-photovoltaic ratio system optimization configuration method for a new energy hydrogen production park, the method comprising the steps of: S1) calculating an output time series of local wind power and photovoltaic power generation, and analyzing wind power and photovoltaic output characteristics and a wind-photovoltaic correlation; S2) establishing equivalent device models of a hydrogen energy storage unit and an electrochemical energy storage unit to form an electric bus power balance and hydrogen bus power balance relationship, and taking the minimization of a full life cycle cost as an objective function and taking into consideration constraint conditions such as the power balance, device operation characteristics and a land restriction to establish a system planning optimization configuration model for a new energy hydrogen production park, which model takes a wind-photovoltaic ratio into consideration; S3) integrating the objective function and the constraint conditions to obtain a system planning and optimization configuration scheme for the new energy hydrogen production park and the total system configuration cost; and S4) taking into consideration an electricity price factor and an energy storage operation characteristic constraint, performing annual hydrogen production timing operation simulation, and analyzing a park electricity purchase demand and a new energy consumption capacity under the present planning optimization configuration scheme.

The invention relates to the technical field of new energy storage regulation and control, and discloses an electricity-hydrogen coupling energy storage system and method for a new energy field station. The system comprises a feature analysis unit, a topology construction unit, a regulation and control domain positioning unit and a decision optimization unit. The feature analysis unit receives operation condition information of the new energy station, and generates a condition feature vector according to real-time load fluctuation, a historical output curve and an equipment operation database by using a deep feature extraction network; the topology construction unit constructs an energy topological graph for distributed energy storage equipment and hydrogen production equipment in the electricity-hydrogen coupling system, dynamically updates a graph structure and a node state based on a real-time monitoring mechanism, and deploys the graph structure and the node state in a heterogeneous computing framework; a regulation and control domain positioning unit positions a matched regulation and control domain in a dynamic representation learning mode according to the working condition feature vector; and the decision optimization unit utilizes a multi-source decision fusion algorithm to screen regulation and control instructions in a regulation and control domain and generate a scheduling sequence, so that the adaptability and the operation efficiency of the system to working conditions are improved.

The invention discloses a water electrolysis hydrogen production intelligent control system and method based on artificial intelligence. The system and method are suitable for a large-scale water electrolysis hydrogen production scene under the power supply condition of fluctuating renewable energy sources such as wind power and photovoltaic. The system comprises a data acquisition layer, an edge calculation layer, an intelligent control layer and an execution layer. Dynamic modeling of the running state of the hydrogen production system is achieved through multi-parameter real-time monitoring and feature extraction. The intelligent control layer fuses an LSTM prediction module and a reinforcement learning controller, the LSTM prediction module is used for predicting future renewable energy input and hydrogen demand trends, and the reinforcement learning controller calculates an optimal current density set value based on a prediction result so as to maximize hydrogen production efficiency per unit energy consumption. And meanwhile, a digital twinning technology and a safety protection mechanism are combined, thermoelectric dual regulation and control of the electrolysis process are achieved, and the control response speed and the system stability are improved. According to the invention, energy consumption can be effectively reduced, the service life of the stack is prolonged, and the operation efficiency and reliability of the hydrogen production system under complex load are improved.

The invention relates to the technical field of renewable energy hydrogen production and intelligent control, discloses a multi-target prediction control method and system based on an ALK-PEM hybrid electrolytic cell array, and solves the problems that in the prior art, wind and light power generation fluctuation cannot be deeply adapted, and hydrogen production economy, response speed and long-term reliability of equipment are difficult to consider. According to the scheme, the method comprises the following steps: obtaining wind-solar power generation power prediction data, and operating parameters and health state indexes of each ALK and PEM in a hybrid array to form a time sequence data set; a hybrid array prediction model based on data driving is constructed, a multi-target cost function is constructed by taking maximization of wind and light absorption, stable hydrogen production and minimization of equipment life loss as targets, rolling optimization is performed on the model, and an optimal power set point sequence of each electrolytic cell in a future preset time domain is solved; and in combination with the operating characteristic difference of the ALK and the PEM, a differential control instruction is generated and executed, and meanwhile, dynamic grouping management is performed on the hybrid array according to the wind-solar power prediction data and the health state of the electrolytic cell.

The utility model discloses an electrolytic bath bipolar plate with micropore flow channels and an electrolytic bath, a micropore flow channel network is arranged on the side surface of an anode of a plate body, and the micropore flow channel network comprises a plurality of groups of micropore flow channel units which are arranged at intervals along the width direction of the plate body; each micropore flow channel unit comprises a main flow channel arranged in the length direction of the plate body and a plurality of first-stage branch flow channels arranged in the length direction of the main flow channel at intervals, a plurality of short branch flow channels are arranged on the two sides of each first-stage branch flow channel at intervals, and a jet hole is formed in the top of each short branch flow channel. The jet flow holes are formed in the direction perpendicular to the side surface of the anode, the length of the short branch runner is smaller than that of the first-stage branch runner, and the short branch runner is perpendicular to the first-stage branch runner. And the microporous flow channel network adopts a structure of combining tree fractal and T-shaped nodes, so that the mass transfer uniformity of water flow in the microporous flow channels can be improved, and the water-membrane contact efficiency is improved, thereby ensuring the hydrogen production efficiency of the bipolar plate.

The invention relates to the technical field of industrial process control, and discloses an intelligent optimization control method of an alkaline water hydrogen production system, which comprises the following steps: a controller synchronously acquires real-time voltage, current and temperature data of an electrolytic bath; theoretical reversible voltage is calculated according to a Nernst equation, ohm voltage drop is eliminated, and a bubble additional impedance value representing the bubble coverage degree is analyzed; performing differential processing on the change rate of the bubble additional impedance value to generate a flow feed-forward control instruction, combining a feedback control instruction based on temperature deviation to synthesize a target rotating speed instruction, and driving an alkali liquor circulating pump to adjust the flow speed; according to the method, the bubble impedance observation model is constructed, so that zero-delay sensing and decoupling control over the state of bubbles in the electrolytic cell are achieved, hysteresis of single temperature feedback is eliminated, and the problems of actuator saturation and model aging drifting are solved.

The invention provides a fault diagnosis method and system for a water electrolysis hydrogen production system based on a graph neural network, and belongs to the technical field of water electrolysis hydrogen production, and the method comprises the steps: obtaining key operation parameters of the water electrolysis hydrogen production system; constructing a time-varying dynamic adjacency matrix based on the key operation parameters, wherein the time-varying dynamic adjacency matrix is obtained by weighting and fusing physical topological structure data and multivariate time sequence data through arbitration parameters; inputting the multivariate time sequence data into a time feature extraction module, and extracting time dependent features; inputting the dynamic adjacency matrix into spatial feature extraction module spatial dependency features based on the time dependency features; fusing the time dependency feature and the spatial dependency feature by adopting a time-space gating fusion mechanism to obtain a fused spatial-temporal feature; and a fault classification module is adopted to identify whether the water electrolysis hydrogen production system has a fault and a fault type based on the fusion features. The diagnosis method is high in accuracy and fast in response.

Provided herein, inter alia, are ruminant feed or feed additive compositions, and methods of using these feed or feed additive compositions to reduce methane emissions in ruminants while improving animal performance, these feed or feed additive compositions comprise one or more compounds that increase hydrogen production in ruminants, such as, but not limited to, 3-nitroxypropanol (3NOP) and one or more acetogens.

The invention discloses a water electrolysis hydrogen production control method and device based on wind and light power generation and electronic equipment. The method comprises the following steps: acquiring the operation cost, the electrolytic cell efficiency and the power grid interaction power variation of the wind-solar hybrid power generation hydrogen production system in a first sampling interval; constructing a target function based on the operation cost, the electrolytic cell efficiency and the power grid interaction power variation; determining the wind power generation predicted power of a wind power generation system in the wind-solar hybrid power generation hydrogen production system in the prediction time period and the photovoltaic power generation predicted power of a photovoltaic power generation system in the prediction time period according to a second sampling interval; and based on the wind power generation predicted power and the photovoltaic power generation predicted power, determining a water electrolysis hydrogen production control strategy (including an electrolytic cell power instruction value and an energy storage compensation power instruction value) by taking the minimum function value of the target function as a target. According to the invention, the technical problems of unbalanced power supply and demand and unstable power grid interaction in the wind-solar hybrid power generation hydrogen production system in the prior art are solved.

The invention relates to an offshore wind power-energy storage-hydrogen production system cooperative control method and device and a medium, and the method comprises the steps: collecting wind power plant operation data, energy storage system data and hydrogen production system data in real time, and obtaining a state vector; the state vector is input into a strategy network, a current action vector is calculated, the strategy network is obtained through training of a double-evaluator reinforcement learning framework, a first evaluator evaluates an economical efficiency target value function, and a second evaluator evaluates a safety target value function; the strategy network outputs a control instruction corresponding to the current action vector, and issues the control instruction to each execution device for adjustment, including adjusting fan operation parameters according to the axial induction factor and the yaw angle; adjusting the electrolytic cell input power according to the electrolytic load power; and controlling the charging and discharging operation of the energy storage system according to the energy storage power. Compared with the prior art, the method has the advantages of high collaboration, high adaptability, safety and the like.

A green ammonia production hydrogen load prediction method based on sparse attention variational Bayes comprises the following steps: acquiring historical data of a green ammonia electrolysis hydrogen production industry through an acquisition sensor, and dividing the historical data into a training set, a verification set and a test set; performing standardization processing on the training set, and constructing an SVAE soft measurement training model; determining a final objective function suitable for SVAE; and performing real-time online prediction on the output target variable by using the current input characteristic variable by adopting the trained SVAE. The SVAE combines CNNs, PSSAM and a cross attention mechanism, and captures a long-term dependency relationship and a complex mutual relationship in industrial data. An optimized objective function is formulated in combination with variational reasoning and a Monte Carlo method and is used for offline training. The SVAE has remarkable advantages in the process of accurately predicting the hydrogen flow and optimizing the production process of the green ammonia, the production efficiency is improved, and the energy consumption is reduced.

The invention belongs to the field of engines, and particularly relates to a dual-fuel regenerative cooling system and method. The cooling system comprises a combustion chamber, an ammonia supply device and a kerosene supply device; three layers of cooling flow channels are arranged in the wall face of the combustion chamber, the output ends of the three layers of cooling flow channels are arranged in the combustion chamber, and the three layers of cooling flow channels comprise a first cooling channel, a second cooling channel and a third cooling channel which are sequentially arranged from inside to outside. The ammonia supply device is connected with the input ends of the first cooling channel and the second cooling channel; the kerosene supply device is connected with the input ends of the third cooling channel and the second cooling channel; and ammonia or kerosene is introduced into the second cooling channel in a time-sharing manner. Through the three-layer cooling channel design and the fuel switchable function, the effects of fuel cooling, thermal protection, cracking hydrogen production and combustion organization are improved at the same time.

The invention relates to the technical field of water electrolysis hydrogen production, and discloses an electrolytic bath outlet temperature control method and system, a medium and a program product, a flow control valve is arranged at an inlet of an electrolytic bath, the electrolyte input flow is converted into a core regulation variable directly influencing the outlet temperature, and active control over the outlet temperature is achieved. Furthermore, the flow control valve is directly connected with the control device, the opening degree signal can be received in real time, the flow can be adjusted, it is ensured that the temperature control instruction can be rapidly converted into the actual flow change, and the response speed to power fluctuation is increased. Furthermore, through a real-time operation state parameter set and a real-time temperature monitoring parameter set, it is ensured that a control signal is generated based on a real working condition, and the temperature control stability under fluctuating power is improved. Furthermore, through the synergistic effect of an electrolyte flow feedforward control signal and an electrolyte flow rear-end control signal, frequent current change caused by wind-solar power fluctuation can be effectively handled, and the fluctuation amplitude of the outlet temperature is reduced.

The invention discloses a water electrolysis hydrogen production electric pile performance evaluation method, and relates to the field of electric pile performance evaluation, and the method comprises the steps: S1, collecting operation parameters through a sensor system, carrying out preprocessing and time sequence alignment, and constructing a real-time data set; s2, according to the real-time data set and historical data, a stack health index is calculated through multi-layer feature hierarchical fusion and a machine learning model; s3, on the basis of the real-time data set, calculating a composite evaluation index parameter containing a safety margin factor and a performance degradation rate; s4, on the basis of the stack health index, analyzing in combination with the composite evaluation index parameters, and determining the stack performance state grade; and S5, extracting a maintenance suggestion in a preset level and maintenance strategy mapping relation based on the pile performance state level, and transmitting the maintenance suggestion to a visual interface for display through the cloud platform. Through multi-layer feature fusion and machine learning, the method achieves the precise evaluation of the health index of the galvanic pile, dynamically monitors the fault early warning, automatically generates an intelligent maintenance strategy, optimizes the performance, and prolongs the service life of equipment.

The invention discloses a photovoltaic-electrolytic cell cooperative power control method and a medium, and the method comprises the steps: constructing a photovoltaic electrolytic hydrogen production system which comprises a photovoltaic module, a battery energy storage module, an electrolytic cell module and a hydrogen storage tank; calculating the planned operation number of electrolytic baths based on the photovoltaic electrolytic hydrogen production system; dividing electrolytic bath operation scenes based on the photovoltaic output, the photovoltaic electrolytic hydrogen production system and the planned operation number of the electrolytic bath, wherein the electrolytic bath operation scenes comprise an electrolytic bath full-load operation scene, an electrolytic bath and battery load mixed operation scene and a self-adaptive adjustment load operation scene; executing a corresponding power scheduling and operation control strategy on the photovoltaic electrolytic hydrogen production system based on the electrolytic cell operation scene and the planned operation number of the electrolytic cells; and based on the objective function under the constraint condition, carrying out optimization solution on the power scheduling and operation control strategy to obtain the reference power of the electrolytic cell. The method can adapt to different photovoltaic wide power fluctuations by dividing different electrolytic cell operation scenes.

The invention relates to a methanol internal combustion engine high-temperature fuel cell hybrid power system based on double-path waste heat gradient utilization. The invention relates to the technical field of internal combustion engine waste heat recovery and new energy power system integration. The system comprises a fuel tank, a first pump body, a heat exchanger, a methanol internal combustion engine, a turbine, a gas compressor, an air compressor, a reformer, a high-temperature proton exchange membrane fuel cell, an evaporator and a second pump body. A methanol-water vapor mixture generated by heat exchange of a mixed solution of methanol and water and a high-temperature fuel cell stack coolant in a heat exchanger is introduced into a reforming reactor and is subjected to catalytic reforming to produce hydrogen by utilizing waste heat of high-temperature tail gas of an engine, and the produced hydrogen is directly supplied to an anode of a high-temperature fuel cell. Through a double-path methanol distribution strategy, collaborative design of internal combustion engine waste heat recovery, electric pile heat management and reforming hydrogen production is realized, and the comprehensive energy efficiency of the system is improved.

The invention discloses a method for preparing a high-performance AEM water-electrolyzed hydrogen production membrane electrode, which comprises the following steps: respectively preparing an AEM water-electrolyzed hydrogen production anode and an AEM water-electrolyzed hydrogen production membrane cathode, then placing the AEM water-electrolyzed hydrogen production anode and the AEM water-electrolyzed hydrogen production cathode on two sides of an anion exchange membrane, and sealing edges to prepare the AEM water-electrolyzed hydrogen production membrane electrode, the preparation method comprises the following steps: mixing catalyst powder with a solvent to prepare catalyst prefabricated slurry, adding an anion exchange resin solution in batches, adding a hydrophobic binder to prepare catalyst slurry, coating the surface of a hydrophobic modified diffusion layer with the slurry, and finally coating the surface of the diffusion layer with the anion exchange resin solution to prepare the hydrophobic modified diffusion layer. And soaking in an organic solvent, and washing. According to the prepared AEM water electrolysis hydrogen production membrane electrode, on the basis that oxygen bubble retention can be reduced, the stability is improved, and meanwhile the activity of the membrane electrode is improved.

The invention belongs to the technical field of hydrogen detection sensing, and particularly relates to an optical fiber hydrogen sensor for detecting hydrogen in water. The optical fiber hydrogen sensor consists of a demodulator and a hydrogen-sensitive optical fiber, wherein the hydrogen-sensitive optical fiber consists of an optical fiber, a WO3 / Pt layer and an ePTFE hydrophobic breathable film from inside to outside, wherein the WO3 / Pt layer is coated outside the optical fiber, and the ePTFE hydrophobic breathable film is coated outside the WO3 / Pt layer. The optical fiber hydrogen sensor is small in size, and the defect that a traditional hydrogen sensor is not suitable for a narrow space in a small chamber of a water electrolysis hydrogen production tank is overcome. The problems of spectrum jitter and abnormal interference caused by the fact that a traditional optical fiber hydrogen sensor is affected by water in an electrolytic bath environment are solved through the hydrophobic breathable film. The hydrogen sensor disclosed by the invention provides a real-time and stable quantitative means for solving the problem that hydrogen concentration cannot be effectively measured due to mixing of hydrogen and oxygen in a small chamber, a water outlet and an oxygen outlet of a water electrolysis hydrogen production tank.

The invention discloses an off-grid ALK-PEM green energy coupling hydrogen production system parameter configuration method. The method comprises the steps that S1, wind and light fluctuation characteristic parameters are collected; s2, calculating the capacity ratio of the electrolytic cell; s3, performing control parameter mapping; and S4, parameters of the cooling system are designed. The invention further discloses a corresponding configuration system, a configuration device, electronic equipment and a computer readable storage medium, and aims at a parameter collaborative configuration method of an alkaline electrolytic cell (ALK) and proton exchange membrane electrolytic cell (PEM) mixed hydrogen production system in a wind and light off-grid power supply scene, so that the core problems of low hydrogen production efficiency, short equipment service life, system instability and the like under a fluctuating power supply are solved.

The invention discloses an emergency energy storage cabin with a multi-source power generation intelligent switching function and a power supply control method thereof, and relates to the field of emergency energy storage, and the energy storage cabin comprises a photovoltaic power generation device which is arranged at the top and can stretch and unfold a photovoltaic panel, a hydrogen energy storage power generation device connected with a bus, and an energy storage battery pack, in cooperation with the voltage and current sampling circuit and the illumination sensor, the controller controls switching among the power supplies according to acquired signals. The switching priority is photovoltaic power generation priority, the energy storage battery pack is subordinate, and the hydrogen energy storage power generation device is the last standby; the system is provided with a current limiting element, a pre-charging control unit and a graded load management function, and can cut off non-critical loads and supply critical loads in turns when a power supply is insufficient. The interior of the cabin can integrate water purification, hydrogen production, hydrogen storage and air conditioning modules. According to the method and the system, intelligent switching of multi-source energy, key load guarantee and continuous energy supply in an emergency environment are realized.

The invention provides a self-adaptive regulation and control method for a hydrogen production system based on real-time parameter feedback, and relates to the technical field of process control, the method comprises the following steps: collecting an input instruction signal and a controlled state variable signal of the hydrogen production system, and comparing a fluctuation energy index with a preset identification dead zone threshold; if the fluctuation energy index is lower than the identification dead zone threshold value, the current controller parameter is kept unchanged; if the fluctuation energy index is higher than the identification dead zone threshold value, activating an online parameter identification step; calculating a dynamic confidence interval of process model parameters; judging whether the process model parameters estimated in real time fall into the dynamic confidence interval or not; if the process model parameters fall into the dynamic confidence interval, converting the process model parameters estimated in real time into control parameters of a PID (Proportion Integration Differentiation) controller, and updating the control parameters into a control loop of the hydrogen production system; and if the process model parameter exceeds the dynamic confidence interval, resetting an internal state vector of the recursive algorithm in the online parameter identification step by using a boundary value.

The invention provides an alkaline electrolytic cell temperature compound control method and system, a medium and equipment. The method comprises the steps that a full-process dynamic simulation model containing key process equipment meeting preset requirements in an electrolytic hydrogen production system is established; a feed-forward controller with current as input and feed-forward compensation amount as output is obtained through analysis of a full-process dynamic simulation model; based on the feed-forward compensation amount, the temperature of the electrolytic bath is stabilized at a set value under the change of the current I; a feedforward-cascade composite control system is constructed; and closed-loop control over the temperature of the electrolytic cell is completed based on a feedforward-cascade composite control system. According to the method, the feed-forward controller based on full-process dynamic simulation design is combined with cascade control, so that accurate lead compensation of wide-width current fluctuation is realized, the problem of response lag of single cascade control is effectively solved, and the dynamic response speed and the anti-interference capability of electrolytic bath temperature control are remarkably improved.

The invention discloses a green synthesis ammonia and organic liquid hydrogen storage combined device. The device comprises a water electrolysis hydrogen production device, a nitrogen production device, an organic liquid hydrogen storage device, a low-pressure gas compressor, a synthesis gas compressor and an ammonia synthesis device, the water electrolysis hydrogen production device produces hydrogen and conveys the hydrogen to the organic liquid hydrogen storage device and the synthesis gas compressor; the nitrogen making device is used for making nitrogen and conveying nitrogen to the organic liquid hydrogen storage device and the synthesis gas compressor; the organic liquid hydrogen storage device reacts hydrogen-poor organic liquid with hydrogen generated by the water electrolysis hydrogen production device to generate hydrogen-rich organic liquid, nitrogen is introduced into the hydrogen-rich organic liquid for dehydrogenation reaction, and the hydrogen and the nitrogen are input into the low-pressure gas compressor; the low-pressure gas compressor and the synthesis gas compressor compress hydrogen and nitrogen and input the compressed hydrogen and nitrogen into the ammonia synthesis device; and the ammonia synthesis device generates ammonia under the action of the catalyst. The gas-liquid mass transfer efficiency and the hydrogen desorption rate are improved, the energy consumption and the operation and maintenance cost of the compressor are reduced, and accurate adjustment of the hydrogen-nitrogen ratio is achieved.

The invention discloses a standby power supply system, and relates to the technical field of transformer substation power supply, a hydrogen production module is used for producing hydrogen by using commercial power or renewable power and then storing the hydrogen in a high-pressure gas storage tank of a hydrogen storage module, and the hydrogen storage module is provided with a one-way valve for the hydrogen to pass through in one way and a gas compressor for compressing the hydrogen to realize hydrogen conveying; after hydrogen stored in the hydrogen storage module is subjected to power generation through a fuel cell through the power generation module, the hydrogen is input into a storage battery pack of an uninterruptible power supply system of the transformer substation, and in the whole process, the control module detects the state of a main power supply and controls starting and stopping of the power generation module. The hydrogen production rate of the hydrogen production module and the hydrogen storage pressure of the hydrogen storage module are controlled, only water is generated in the power generation process, harmful emission is avoided, direct current generated by the fuel cell is directly matched with a UPS storage battery direct current bus, the response speed is high, conversion loss is reduced, the energy utilization efficiency is improved, the system automation degree is high, and the operation and maintenance cost is low.

The invention discloses a rare earth element doped stainless steel oxygen evolution electrode and a preparation method thereof, and belongs to the technical field of electrode preparation. The preparation method of the stainless steel oxygen evolution electrode comprises the steps that stainless steel with impurities removed serves as an anode and is placed in an alkaline solution with the concentration being 7-12 mol / L, cyclic voltammetry is adopted, stainless steel treated through cyclic voltammetry is obtained, and the potential window is-0.3 V to 1.5 V; the stainless steel is placed in an alkaline solution with the concentration being 1-2 mol / L and serves as an anode for electrolysis, and anodic oxidation stainless steel is obtained; the anodic oxidation stainless steel is placed in a cerium ion solution, a cyclic voltammetry method is adopted, the stainless steel serves as an anode to be treated, and a stainless steel oxygen evolution electrode is obtained through electro-deposition; wherein the potential window is-1.5 V to 1.0 V (+ / -0.5 V). The preparation method is simple, the cost is low, large-scale preparation is easy, long-time, high-temperature and other complex preparation processes are not needed, and when the electrode is used as an electrode for electrolyzing oxygen evolution in water, the electrode has excellent catalytic activity and shows huge application prospects in large-scale industrial hydrogen production through water electrolysis.

The invention relates to a hydrogen production PEM electrolytic cell array power distribution method and system. The method comprises the following steps: establishing a photovoltaic power generation power and wind power model; establishing an initial database according to historical and real-time natural condition data; preprocessing the data in the initial database, and dividing the data into a training set, a test set and a verification set in proportion; training a random forest algorithm by using the training set to obtain final prediction power; performing differential accumulation according to the fluctuation change of the final predicted power to calculate a rolling period; defining a control state of the electrolytic cell; calculating the electrolytic cell health degree of each electrolytic cell; establishing a power-health degree adaptability function; solving the adaptability function by using a particle swarm algorithm to obtain a control state and preset power; and in the current rolling period, operating the electrolytic cell system according to the control state and the preset power of each electrolytic cell calculated by the adaptability function in the previous rolling period. The invention optimizes the system efficiency and the life of the PEM electrolytic cell.

The invention discloses an electrothermal hydrogen comprehensive energy multi-target collaborative planning operation method, which comprises the following steps: obtaining a photovoltaic and electrical load typical day by using a contour coefficient method and an ordered clustering algorithm, generating a wind power and thermal load typical day by using an ISODATA algorithm improved by a local density formula, and constructing an electrolytic cell and hydrogen fuel cell equipment refined dynamic efficiency model; the method comprises the following steps: constructing a multi-target collaborative bilevel planning operation model, solving the multi-target collaborative bilevel planning operation model by adopting an NSGA-II algorithm and a Gurobi solver to obtain a target capacity Pareto frontier solution set, selecting an optimal solution by utilizing a TOPSIS method, and outputting a capacity configuration scheme. According to the method, the economical efficiency, the low-carbon property and the hydrogen production reliability of the system are considered, meanwhile, the hydrogen energy utilization rate is increased, more accurate optimal configuration of the capacity of the wind-solar-hydrogen energy equipment is achieved, and reference is provided for actual planning operation.

The invention discloses a test method for multi-parameter synchronous excitation of a water electrolysis hydrogen production system, and belongs to the technical field of water electrolysis hydrogen production, and the test method comprises the following steps: obtaining key operation parameters of the water electrolysis hydrogen production system to construct a dynamic coupling response model, and generating a multi-parameter synchronous excitation signal sequence; the multi-parameter synchronous excitation signal sequence is applied to the water electrolysis hydrogen production system, system response data are synchronously collected, and a system response data set with a time sequence mark is generated; generating an adaptive test path planning instruction based on the system response data set with the time sequence mark and the dynamic coupling response model; and updating the multi-parameter synchronous excitation signal sequence according to the self-adaptive test path planning instruction, and executing an iterative test. According to the method, the dynamic coupling response model is constructed, multi-parameter synchronous excitation is generated and applied, and a closed-loop strategy based on response data adaptive iterative testing is adopted, so that the dynamic characteristics and the performance boundary of the system can be efficiently and accurately identified, and a comprehensive global performance map is constructed.

The invention relates to an electrolytic hydrogen production system operation strategy adjusting method and device, equipment and a storage medium. The method comprises the steps of predicting a node electricity price of a power system based on obtained load prediction data, renewable energy output prediction data, unit operation parameters, power grid topology data and a constructed electricity price prediction model, and obtaining an electricity price prediction result; based on the electricity price prediction result, the obtained hydrogen demand data and operation data of the electrolytic hydrogen production system, the constructed electrolytic hydrogen production system model and a preset electric energy balance constraint condition, a preset optimization objective function is solved with the goal of minimizing the hydrogen production cost, and the optimal hydrogen production cost is obtained. Obtaining a target start-stop plan and a target operation power plan of the electrolytic hydrogen production system, wherein the optimization target function is constructed based on the operation cost of the power system and the operation cost of the electrolytic hydrogen production system; and adjusting the operation strategy of the electrolytic hydrogen production system based on the target start-stop plan and the target operation power plan. The method is beneficial to reducing the consumption of hydrogen production resources.

The invention belongs to the technical field of preparation of new energy materials, and particularly provides a production control method and system for a catalyst for hydrogen production through electrolysis of water. The method comprises the following steps: collecting dynamic parameters of a precursor solution in real time; performing time sequence feature extraction on the dynamic parameters through an edge calculation node, and calculating a current density variation coefficient; the dynamic parameters and the current density variable coefficient are input into a multi-objective optimization model, and a real-time regulation and control instruction of the electro-deposition duty ratio and the annealing temperature gradient is generated; the duty ratio and the temperature gradient are adjusted according to the real-time regulation and control instruction, and the water electrolysis hydrogen production catalyst is produced based on the adjusted parameters; the distribution uniformity of elements on the surface of the catalyst is verified through a spectral analysis technology, and a verification result is fed back to the multi-objective optimization model for parameter iterative optimization. Dynamic parameters of a precursor solution are collected in real time, time sequence characteristics are extracted in combination with edge calculation nodes, a current density variable coefficient is calculated, and dynamic sensing and stability quantitative evaluation of the process state are achieved.